In this paper, a novel method is proposed for integrating real-time data visualization into Progressive Web Apps (PWAs) using Power BI Embedded. This approach leverages the advanced capabilities of Power BI Premium, o...
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Knowledge Management (KM) and Artificial Intelligence (AI) at their core are about knowledge. AI provides the mechanism that allows a machine to obtain, acquire, process, and use information to execute tasks, as well ...
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In the context of the digital age, online public opinion has rapidly emerged as a key manifestation of social sentiment. The spread of campus public opinion is primarily through the internet, characterized by high att...
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The need for robust video encryption is driven by the increasing demand for secure multimedia transmission and storage. Traditional encryption methods often fail to account for the high data volume and real-time const...
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Diabetic retinopathy is an eye disease caused by high sugar levels in blood, leaving the retina damaged. Retina is the part of the eye that detects the light and passes electrical signals to the brain. The optic nerve...
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Securing reusable hardware intellectual property (IP) cores has become increasingly critical due to their widespread application in multimedia systems and modern consumer electronics. These IP cores, particularly digi...
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The COVID-19 pandemic was a global outbreak of a viral that caused widespread to people's well-being. COVID-19 primarily affects the respiratory system, leading to various lung diseases and complications. During t...
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Automatic personality trait prediction is the prediction of a person's personality from cues like facial expressions, body language, manner of speaking, etc. There has been a lot of research on implementing machin...
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During the software development phase, vulnerability detection needs huge interest to make it less vulnerable and secure. Every time, the vulnerable software provokes hackers to make malicious activities and interrupt...
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Prenatal depression,which can affect pregnant women’s physical and psychological health and cause postpartum depression,is increasing ***,it is essential to detect prenatal depression early and conduct an attribution...
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Prenatal depression,which can affect pregnant women’s physical and psychological health and cause postpartum depression,is increasing ***,it is essential to detect prenatal depression early and conduct an attribution *** studies have used questionnaires to screen for prenatal depression,but the existing methods lack *** diagnose the early signs of prenatal depression and identify the key factors that may lead to prenatal depression from questionnaires,we present the semantically enhanced option embedding(SEOE)model to represent questionnaire *** can quantitatively determine the relationship and patterns between options and *** first quantifies options and resorts them,gathering options with little difference,since Word2Vec is highly dependent on *** resort task is transformed into an optimization problem involving the traveling salesman ***,all questionnaire samples are used to train the options’vector using ***,an LSTM and GRU fused model incorporating the cycle learning rate is constructed to detect whether a pregnant woman is suffering from *** verify the model,we compare it with other deep learning and traditional machine learning *** experiment results show that our proposed model can accurately identify pregnant women with depression and reach an F1 score of *** most relevant factors of depression found by SEOE are also verified in the *** addition,our model is of low computational complexity and strong generalization,which can be widely applied to other questionnaire analyses of psychiatric disorders.
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